Digital PR for AI Search: How Off-Site Mentions Earn Citations
AI engines trust what others say about you more than what you say. Here's why third-party mentions drive citations, and how to earn them deliberately.
Read article →Posts by Olga
Local AI Visibility: Getting Recommended by ChatGPT and Gemini
When someone asks an AI assistant for the best option near them, one business gets named. Here's how local AI recommendations are assembled and how to win them.
Read article →How to Build Topic Clusters That AI Engines Cite
95% of the queries deciding your AI visibility have zero search volume. Topic clusters are how you cover them. Here's how to build one that earns citations.
Read article →Agentic Search: Preparing Your Site for AI Agents That Act
AI agents are moving from answering questions to completing tasks: comparing, booking, buying. Here's what that changes about how your site needs to work.
Read article →Image SEO for AI Search: How Multimodal Models Read Your Visuals
Multimodal AI reads your images directly, not just your alt text. Here's what that changes about filenames, captions, ImageObject markup and visual content.
Read article →Content Chunking for AI: How to Structure Pages for Retrieval
AI engines retrieve passages, not pages. Here's how chunking and embeddings actually work, and how to structure content so your paragraphs survive the cut.
Read article →Google AI Mode: How It Works and How to Show Up In It
Google AI Mode explained: how query fan-out works, why it differs from AI Overviews, and the practical steps to become a source it pulls into answers.
Read article →Retrieval vs Citation: Why Being Found Isn't Being Quoted
AI engines retrieve far more pages than they cite. Only 15% of retrieved pages reach the answer. Here's what happens in between and how to survive the cut.
Read article →How to Track AI Traffic in GA4 and Search Console
AI engines send traffic but hide the attribution. Here's how to build AI referral reporting in GA4, what Search Console's AI report shows, and what stays invisible.
Read article →Should You Block AI Crawlers? The Case Both Ways
Blocking GPTBot or opting out of AI Overviews protects content but costs visibility. Here's the honest tradeoff, who each side suits, and the middle path.
Read article →The Future of Search: What to Expect Through 2027
The future of search through 2027: what the evidence shows about AI substitution and crawler economics, what stays uncertain, and how to prepare now.
Read article →ChatGPT vs Gemini vs Perplexity: Where AI Referral Traffic Is Going
AI referral traffic is concentrated in ChatGPT, but Gemini is surging past Perplexity — see March 2026 shares and why you track every engine, not one.
Read article →How AI Engines Choose Which Sources to Cite (2026)
How AI engines choose which sources to cite in 2026: citation is decoupling from classic rankings and tilting toward entity and brand-authority signals.
Read article →AI Overviews and the Zero-Click Problem: What the Data Shows
AI Overviews are cutting organic clicks, but by how much? The research shows a ~34–61% range across studies, rising zero-click search, and what to do next.
Read article →What Is llms.txt (and Is It Worth Building)?
llms.txt is a proposed file that hands AI models a clean map of your best content. Here's what it is, whether the major engines actually read it yet, and how to build one.
Read article →AEO vs GEO vs SEO: The Differences Explained
AEO, GEO, and SEO explained: what each optimizes for, how they overlap and differ, and a clear comparison table so you know which work to prioritize.
Read article →AI SEO in 2026: What Actually Changed
AI SEO in 2026: AI Overviews now cover ~48% of Google queries, zero-click hit 68%, and AI citations decoupled from rankings. Here's what changed.
Read article →Do You Actually Need a GEO Agency Yet?
Not every business needs a GEO agency yet. An honest self-assessment — the signs you're ready, the signs you're not, and where to start on your own.
Read article →What a GEO Agency Actually Delivers
Beyond the buzzwords, a GEO agency delivers entity work, schema, quotable content, measurement, and reporting. Here's what each looks like when done well.
Read article →AI SEO Audit Pricing: What It Costs and Why
AI SEO audit pricing ranges from free assessments to paid deep-dives. Here's what goes into each, what drives the cost, and how to tell them apart.
Read article →FAQ Schema for AI Answers: When It Helps (and When It Doesn't)
FAQ schema for AI answers: what FAQPage markup does, how Google's rich result eligibility changed, the visible-Q&A rule, and an honest take on its value.
Read article →In-House GEO vs Hiring an Agency: How to Decide
Should you build GEO in-house or hire an agency? A straight decision framework covering team, tooling, speed, and cost — and when each one wins.
Read article →Core Web Vitals Explained: LCP, INP and CLS
Core Web Vitals explained: what LCP, INP and CLS measure, their good-score thresholds, common causes of poor scores, and why speed matters for SEO.
Read article →GEO Agency vs Traditional SEO Agency: What's Different
A GEO agency optimizes for AI answers; an SEO agency optimizes for search rankings. Here's how their goals, deliverables, and measurement differ.
Read article →How to Get a Google Knowledge Panel for Your Brand
How to get a Google Knowledge Panel for your brand: what triggers a panel, which entity signals help, and the realistic expectations to set first.
Read article →How to Appear in Google AI Overviews
AI Overviews sit atop Google results and summarize answers with links. Here is how they relate to classic ranking and the practical steps to get included.
Read article →Structured Data for AI Search: Which Schema Types Matter
Which schema types matter most for AI search: Organization, WebSite, BreadcrumbList, Article, FAQPage and Person, and what each tells AI engines.
Read article →JavaScript Rendering and AI Crawlers: What Breaks and How to Fix It
Many AI crawlers don't run JavaScript, so client-rendered content is invisible to them. Why SSR and static rendering matter, and how to test what bots see.
Read article →Knowledge Graph Optimization: A Practical Checklist
Knowledge graph optimization checklist: a step-by-step plan to strengthen your presence in Google's Knowledge Graph and the memory of large AI models.
Read article →The AI Visibility Metrics That Actually Matter
The AI visibility metrics worth tracking are presence rate, citation share, sentiment and accuracy, and competitor gap. Here's what to measure and skip.
Read article →Person Schema and Author Entities: E-E-A-T for AI
Person schema and author entities for AI: how sameAs, authorship, and E-E-A-T signals build the trust that AI systems weigh when citing your content.
Read article →robots.txt for AI Crawlers: GPTBot, PerplexityBot and Google-Extended
robots.txt for AI crawlers: which user-agents like GPTBot, PerplexityBot and Google-Extended exist, how to allow or block each, and the tradeoffs.
Read article →How to Track Your Brand in Perplexity, Gemini and AI Overviews
Track your brand in Perplexity, Gemini, and Google AI Overviews with an engine-by-engine method for checking presence, citations, and how each differs.
Read article →Organization Schema for AI Search: The Connected Graph
Organization schema for AI search: build one Organization entity with a stable @id that WebSite, WebPage, Service, and Person nodes all reference.
Read article →AI Citation Tracking: Tools and Methods Compared
AI citation tracking runs from manual prompt logging to scripted APIs to paid platforms. Compare the methods, the tradeoffs, and when each one fits.
Read article →How to Get Cited by Perplexity
Perplexity cites its sources on every answer. Here is how its citation-heavy model works and the practical steps to become one of the pages it quotes.
Read article →Entity SEO: How to Build a Brand Entity Search Engines Trust
Entity SEO explained: what a brand entity is, why AI models think in entities, and how to make yours unambiguous so search engines trust and cite it.
Read article →Share of Model: The New Share of Voice for AI Search
Share of model measures how often an AI engine names your brand versus competitors across a prompt set. Here is how to define, calculate, and use it.
Read article →Generative Engine Optimization: The Complete Guide
The complete guide to generative engine optimization: what GEO is, why it matters, and the full framework to be understood, quotable, and measured by AI.
Read article →How to Measure Your Brand's Visibility in ChatGPT
Measure your brand's visibility in ChatGPT by running buyer prompts on a cadence and logging presence, sentiment, and citations. Here is the method.
Read article →How to Rank in ChatGPT Search
How ChatGPT search finds and cites sources, and the practical steps to make your brand one of the pages it surfaces and quotes inside its answers.
Read article →How to Get Your Brand Cited by ChatGPT and Perplexity
A practical checklist for earning citations inside AI answers — from structured data and answer-first content to third-party signals.
Read article →AI SEO vs Traditional SEO: What Actually Changes
Traditional SEO still matters — but AI SEO adds entity optimization and machine-readable content. Here's how they differ and how they work together.
Read article →What Is GEO (Generative Engine Optimization)?
GEO is the practice of getting your brand understood, trusted, and cited by AI engines like ChatGPT, Perplexity, and Gemini. Here's what it is and why it matters.
Read article →Ready to get found on Google and in AI?
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